
Experimental Mathematics
A Computational Perspective
American Mathematical Society (Publisher)
Published on 31. August 2025
Book
Paperback/Softback
364 pages
978-1-4704-7397-6 (ISBN)
Description
This textbook is designed for an undergraduate course in computational or experimental mathematics. Many of the most interesting and important topics in theoretical mathematics are both motivated and illuminated by computation. By using a computer to explore and investigate mathematical phenomena, students are encouraged to conduct experiments and make their own discoveries. The explorations are motivated by rich and interesting mathematical examples drawn from diverse areas such as number theory, complex analysis, and probability. In this setting, students are exposed to key concepts from programming such as algorithms, recursion, and probabilistic sampling, allowing them to develop practical computational skills. Over 450 practice problems, exercises, and explorations are distributed regularly throughout the text, reinforcing the material and encouraging further investigations. A code repository, providing implementations of these examples, is available at the AMS webpage for the text. Thoroughly classroom tested and designed to show students how to combine mathematical and computational thinking, the book requires prior knowledge of only calculus and introductory linear algebra. Only minimal prior experience with computer programming is necessary, provided the reader has a computing environment, access to online documentation, and a willingness to experiment. Notably, the volume has been carefully prepared so that it may be used with almost any programming language.
More details
Series
Language
English
Place of publication
Providence
United States
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 178 mm
ISBN-13
978-1-4704-7397-6 (9781470473976)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Matthew P. Richey, St. Olaf College, Northfield, MN, and Matthew L. Wright, St. Olaf College, Northfield, MN
Content
Digits of $\pi$
Fibonacci sequence and its generalizations
Iterated functions
Primes
Probabilistic simulation
Markov chains
Image credits
Bibliography
Index
Fibonacci sequence and its generalizations
Iterated functions
Primes
Probabilistic simulation
Markov chains
Image credits
Bibliography
Index